Sam Rahbar's starred repositories
workshop_semantic_segmentation
Work shop for semantic segmentation- Data, train and inference scripts
Tree_search
Basic introduction and coding to tree_search and A* algorithms
AI-Winter-School
UCalgary - Vision Lab tutorials
silero-vad
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
awesome-compose
Awesome Docker Compose samples
Human-in-the-Loop-RL
Reinforcement learning with human feedback (RLHF) to Personalize Hearing Enhancement
MIMIC_Extract
MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
EnvironmentalSoundClassification
Here, an algorithm to classify environmental sounds with the aim of providing contextual information to devices such as hearing aids for optimum performance is proposed. We use signal sub-band energy to construct signal-dependent dictionary and matching pursuit algorithms to obtain a sparse representation of a signal. The coefficients of the sparse vector are used as weights to compute weighted features. These features, along with mel frequency cepstral coefficients (MFCC), are used as feature vectors for classification. Experimental results show that the proposed method gives an accuracy as high as 95.6 %, while classifying 14 categories of environmental sound using a Gaussian mixture model (GMM). For more details, please refer to [1].
eidos-audition
Collection of auditory models.
py-webrtcvad
Python interface to the WebRTC Voice Activity Detector
pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
HearingLossSimulator
Near real time hearing loss simulator in python based on Compressive Gammachirp.
audiometer
Computer-controlled software audiometer (student project)
audio-datasets
open-source audio datasets
clean-code-python
:bathtub: Clean Code concepts adapted for Python
neurohack-2016-starterkit
neurohack starter kit
dynamic-spatial-filtering
Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021